Object recognition in images by human vision and computer vision

Q. Chen, J. Dijkstra, B. Vries, de

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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Abstract

Object recognition plays a major role in human behaviour research in the built environment. Computer based object recognition techniques using images as input are challenging, but not an adequate representation of human vision. This paper reports on the differences in object shape recognition between human vision and computer vision. To this end, we explore an image-based recognition algorithm and a model-based recognition algorithm. Experiments were conducted using these two algorithms given images generated by Radiance lighting simulation software. The results reveal significant differences between human vision and computer vision given various conditions in the testing images and in the testing room.
Original languageEnglish
Title of host publicationConference proceeding of 10th International Conference on Design & Decision Support Systems in Architecture and Urban Planning
Place of PublicationEindhoven
PagesCD-ROM-
Publication statusPublished - 2010
Event10th International Conference on Design and Decision Support Systems, (DDSS2010) - Evoluon, Eindhoven, Netherlands
Duration: 19 Jul 201022 Jul 2010
Conference number: 10

Conference

Conference10th International Conference on Design and Decision Support Systems, (DDSS2010)
Abbreviated titleDDSS2010
CountryNetherlands
CityEindhoven
Period19/07/1022/07/10
Other10th International Conference om Design and Decision Support Systems in Architecture and Urban Planning, TU/e Eindhoven, 19-22 July 2010

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